A novel approach to forecast traffic congestion using CMTF and machine learning

A novel approach to forecast traffic congestion using CMTF and machine learning

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

Podrobná bibliografie
Hlavní autoři: Chowdhury, Md. Mohiuddin, Hasan, Mahmudul, Safait, Saimoom
Další autoři: Uddin, Jia
Médium: Diplomová práce
Jazyk:English
Vydáno: BRAC University 2018
Témata:
Traffic congestion
Traffic data
Forecast
Machine learning
CMTF
On-line přístup:http://hdl.handle.net/10361/10121

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